 Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical
Decision-Support SettingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
 Trust in AI: Progress, Challenges, and Future DirectionsHumanities and Social Sciences Communications (HSSC), 2024 |
 Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of
AI-Based Treatment Recommendations in Health CareInternational Conference on Human Factors in Computing Systems (CHI), 2023 |
 VBridge: Connecting the Dots Between Features and Data to Explain
Healthcare ModelsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021 |
 What Clinicians Want: Contextualizing Explainable Machine Learning for
Clinical End UseMachine Learning in Health Care (MLHC), 2019 |
